Christian Ledig

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Welcome

Welcome to my webpage. Here you can find some information about myself and research projects I am involved in.
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» News & Announcements

TBI study published & LondonCV Meetup Talk online

November, 2017

Excited that our study on “Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging” was now published in PLOSONE.
[doi][pdf]

My recent talk on “Pushing the envelope of super-resolution” held within the LondonCV Meetup is now available on YouTube. [talk]

Move of webpage

November, 2017

This webpage is now available under christianledig.com.
Also please note my updated email contact. I will not have access to my Imperial email address for much longer...

CVPR 2017

July, 2017

Aloha! It was great catching up at CVPR in Hawaii. A recording of the oral presentation of our work around SRGAN is online here (including slides): [talk][slides]

NeuroImage: Clinical

June, 2017

Our paper on “Five-class Differential Diagnostics of Neurodegenerative Diseases using Random Undersampling Boosting” was accepted for publication in NeuroImage: Clinical. Research led by Tong Tong.
[pdf]

Publications update

Twitter Cortex Vx, London, UK

September, 2016

In July, I have joined Twitter Cortex as Computer Vision Researcher. We employ and advance machine learning approaches to improve the user's visual experience (Vx). Very recently, we have published an arXiv paper on “Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network” that you can find here: [pdf]

MICCAI and NeuroImage paper accepted

July, 2016

Our work on the “Differential Dementia Diagnosis on Incomplete Data with Latent Trees” was accepted for presentation at MICCAI 2016 and our work on “Instantiated mixed effects modeling of Alzheimer's disease markers” was accepted in NeuroImage. The papers are available here: [MICCAI - pdf][NeuroImage - doi]

PredictND: Publication on differential dementia diagnosis

March, 2016

Our article on the “Differential diagnosis of neurodegenerative diseases using structural MRI data” was accepted in NeuroImage: Clinical [doi]
. The work towards this article was done within the predictND project.

Book Release

December, 2015

Our book chapter on the “Semantic Parsing of Brain MR Images” was published:

Imperial student team qualifies for ACM-ICPC World Finals

MALPEM segmentation framework released

October, 2015

The whole-brain segmentation framework MALPEM is now available for download. The package performs bias correction, brain extraction and a structural segmentation of a magnetic resonance brain image. A summary PDF report is created. [download][PDF report]

Challenge: Ischemic Stroke Lesion Segmentation

October, 2015

Congratulations to Kostas Kamnitsas! His deep learning approach was evaluated as a leading method in this year's MICCAI 2015 - Challenge on Ischemic Stroke Lesion Segmentation.